OPTIMAL SWITCH PLACEMENT IN RADIAL DISTRIBUTION SYSTEM USING PSO
Published In: SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS, ELECTRICAL AND COMPUTER ENGINEERING
Author(s): AMIT KUMAR , JYOTI KATARIA , MANISH KUMAR MADHAV , MUKESH CHAND
Abstract: This paper proposes an optimization method for planning adequate number and location of automatic switches in a radial distribution system. The purpose is to maximize the profit of that service reliability indices achieve the required level. First, a network equivalent technique is introduced to calculate the reliability indices. Second, by using the equivalent method, system reliability indices and profit on variousswitches configuration cases can be deduced. Then a mixed-integer particle swarm optimization (MIPSO) is proposed to determine the optimal switch number and location.
- Publication Date: 13-Jun-2013
- DOI: 10.15224/978-981-07-6935-2-09
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COMPARATIVE STUDY OF SEGMENTATION TECHNIQUES FOR EXTRACTING BRAIN TUMOUR FROM MRI IMAGE
Published In: SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS, ELECTRICAL AND COMPUTER ENGINEERING
Author(s): ANNAPURNA SINGH , H.S. BHADAURIA, , RACHANA RANA
Abstract: Brain tumour segmentation is a crucial step in surgical planning and treatment planning. A significant medical informatics task is indexing patient databases according to size, location, and other characteristics of brain tumours and edemas, possibly based on magnetic resonance (MR) imagery. This requires segmenting tumours and edemas within images from different MR modalities. Automated brain tumour or edema segmentation from MR modalities remains a challenging, computationally intensive task. This paper presents a comparative study of different approaches for to segmenting brain tumour from MRI images
- Publication Date: 13-Jun-2013
- DOI: 10.15224/978-981-07-6935-2-10
- Views: 0
- Downloads: 0